Question

For a given level of significance, if the sample size is increased: the power of the test will increase we will have more responses to log and calculate it will skew the mean to the right it has no effect on the direct results

Answer 1

the power of the test will increase

Step-by-step explanation:

In simple terms, Power relates to the likelihood that the null statement will be correctly denied. The change in sample size allows the experiment more adaptive and decreases the continuous distribution of the data. Then perhaps the null statement is more probable to be discarded if it is simply incorrect. It is why the strength of the analysis rises.

Thus, from the above we can conclude that the correct answer is first statement.